| Investigating the problem of cryptocurrency price prediction: a deep learning approach E Pintelas, IE Livieris, S Stavroyiannis, T Kotsilieris, P Pintelas IFIP International conference on artificial intelligence applications and …, 2020 | 119 | 2020 |
| The Evolution of e‑Learning in the Context of 3D Virtual Worlds T Kotsilieris, N Dimopoulou Electronic Journal of e-Learning 11 (2), 147‑167, 2013 | 76 | 2013 |
| A review of machine learning prediction methods for anxiety disorders EG Pintelas, T Kotsilieris, IE Livieris, P Pintelas Proceedings of the 8th International Conference on Software Development and …, 2018 | 66 | 2018 |
| The potential of blockchain technology and smart contracts in the energy sector: a review P Vionis, T Kotsilieris Applied Sciences 14 (1), 253, 2023 | 63 | 2023 |
| A dropout weight-constrained recurrent neural network model for forecasting the price of major cryptocurrencies and CCi30 index IE Livieris, S Stavroyiannis, E Pintelas, T Kotsilieris, P Pintelas Evolving Systems, 1-16, 2021 | 40 | 2021 |
| Improving the evaluation process of students’ performance utilizing a decision support software IE Livieris, T Kotsilieris, V Tampakas, P Pintelas Neural Computing and Applications 31 (6), 1683-1694, 2019 | 37 | 2019 |
| Assessment of health information technology interventions in evidence-based medicine: a systematic review by adopting a methodological evaluation framework SC Christopoulou, T Kotsilieris, I Anagnostopoulos Healthcare 6 (3), 109, 2018 | 29 | 2018 |
| The impact of social networks on health care T Kotsilieris, A Pavlaki, S Christopoulou, I Anagnostopoulos Social Network Analysis and Mining 7 (1), 18, 2017 | 26 | 2017 |
| DSS-PSP-a decision support software for evaluating students’ performance IE Livieris, K Drakopoulou, T Kotsilieris, V Tampakas, P Pintelas International Conference on Engineering Applications of Neural Networks, 63-74, 2017 | 25 | 2017 |
| Forecasting stock price index movement using a constrained deep neural network training algorithm IE Livieris, T Kotsilieris, S Stavroyiannis, P Pintelas Intelligent Decision Technologies 14 (3), 313-323, 2020 | 24 | 2020 |
| Regularization techniques for machine learning and their applications T Kotsilieris, I Anagnostopoulos, IE Livieris Electronics 11 (4), 521, 2022 | 22 | 2022 |
| Decision support software for forecasting patient’s length of stay IE Livieris, T Kotsilieris, I Dimopoulos, P Pintelas Algorithms 11 (12), 199, 2018 | 22 | 2018 |
| A literature review of user satisfaction models towards information system success M Antonopoulou, T Kotsilieris International Journal of E-Services and Mobile Applications (IJESMA) 11 (2 …, 2019 | 20 | 2019 |
| Fundamental research questions and proposals on predicting cryptocurrency prices using DNNs E Pintelas, I Livieris, S Stavroyiannis, T Kotsilieris, P Pintelas | 19 | 2020 |
| A mobile agent enabled wireless sensor network for river water monitoring T Kotsilieris, GT Karetsos 2008 The Fourth International Conference on Wireless and Mobile …, 2008 | 19 | 2008 |
| Weight-constrained neural networks in forecasting tourist volumes: A case study IE Livieris, E Pintelas, T Kotsilieris, S Stavroyiannis, P Pintelas Electronics 8 (9), 1005, 2019 | 18 | 2019 |
| Reviewing machine learning techniques for predicting anxiety disorders. T Kotsilieris, I Livieris, P Pintelas, E Pintelas TR01-18, 2018 | 17* | 2018 |
| Predicting length of stay in hospitalized patients using SSL algorithms IE Livieris, IF Dimopoulos, T Kotsilieris, P Pintelas Proceedings of the 8th International Conference on Software Development and …, 2018 | 15 | 2018 |
| Bank loan processes modelling using BPMN G Mpardis, T Kotsilieris 2010 Developments in E-systems Engineering, 239-242, 2010 | 14 | 2010 |
| Evidence-based health and clinical informatics: a systematic review on randomized controlled trials SC Christopoulou, T Kotsilieris, I Anagnostopoulos Health and Technology, 1-14, 2017 | 12 | 2017 |
Ioannis E. LivierisAssociate Professor, University of the Pelopponese, Department of Business Organization, GreeceVerified email at uop.gr
